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Joel A Dubin

Showing results (1-10 of 96) with videos related to

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Scientific Reports|November 13, 2021
Identifying early-measured variables associated with APACHE IVa providing incorrect in-hospital mortality predictions for critical care patientsShuo Feng, Joel A Dubin
Statistics in Medicine|August 4, 2010
A binning method for analyzing mixed longitudinal data measured at distinct time pointsXiaoqin Xiong, Joel A Dubin
Computers in Biology and Medicine|February 15, 2026
Unsupervised identification of sepsis subpopulations in the eICU database: A multi-method clustering approach with validationHanwen Ju, Joel A Dubin
Statistics in Medicine|May 16, 2025
A Personalized Predictive Model That Jointly Optimizes Discrimination and CalibrationTatiana Krikella, Joel A Dubin
Biometrics|March 13, 2015
Multivariate longitudinal data analysis with mixed effects hidden Markov modelsJesse D Raffa, Joel A Dubin
Computers in Biology and Medicine|December 28, 2020
Identifying subpopulations of septic patients: A temporal data-driven approachAnis Sharafoddini, Joel A Dubin, Joon Lee
Statistical Methods in Medical Research|April 28, 2025
On flexible inverse probability of treatment and intensity weighting: Informative censoring, variable selection, and weight trimmingGrace Tompkins, Joel A Dubin, Michael Wallace
JMIR Medical Informatics|March 5, 2017
Patient Similarity in Prediction Models Based on Health Data: A Scoping ReviewAnis Sharafoddini, Joel A Dubin, Joon Lee
Plos One|May 16, 2015
Personalized mortality prediction driven by electronic medical data and a patient similarity metricJoon Lee, David M Maslove, Joel A Dubin
Journal of Clinical Epidemiology|February 13, 2007
Triggered sampling could help improve longitudinal studies of persons with elevated mortality riskJoel A Dubin, Ling Han, Terri R Fried
Pageof 10

Showing results (1-10 of 96) with videos related to

Sort By:
Pageof 10
Scientific Reports|November 13, 2021
Identifying early-measured variables associated with APACHE IVa providing incorrect in-hospital mortality predictions for critical care patientsShuo Feng, Joel A Dubin
Statistics in Medicine|August 4, 2010
A binning method for analyzing mixed longitudinal data measured at distinct time pointsXiaoqin Xiong, Joel A Dubin
Computers in Biology and Medicine|February 15, 2026
Unsupervised identification of sepsis subpopulations in the eICU database: A multi-method clustering approach with validationHanwen Ju, Joel A Dubin
Statistics in Medicine|May 16, 2025
A Personalized Predictive Model That Jointly Optimizes Discrimination and CalibrationTatiana Krikella, Joel A Dubin
Biometrics|March 13, 2015
Multivariate longitudinal data analysis with mixed effects hidden Markov modelsJesse D Raffa, Joel A Dubin
Computers in Biology and Medicine|December 28, 2020
Identifying subpopulations of septic patients: A temporal data-driven approachAnis Sharafoddini, Joel A Dubin, Joon Lee
Statistical Methods in Medical Research|April 28, 2025
On flexible inverse probability of treatment and intensity weighting: Informative censoring, variable selection, and weight trimmingGrace Tompkins, Joel A Dubin, Michael Wallace
JMIR Medical Informatics|March 5, 2017
Patient Similarity in Prediction Models Based on Health Data: A Scoping ReviewAnis Sharafoddini, Joel A Dubin, Joon Lee
Plos One|May 16, 2015
Personalized mortality prediction driven by electronic medical data and a patient similarity metricJoon Lee, David M Maslove, Joel A Dubin
Journal of Clinical Epidemiology|February 13, 2007
Triggered sampling could help improve longitudinal studies of persons with elevated mortality riskJoel A Dubin, Ling Han, Terri R Fried
Pageof 10